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Defining assessment projects and scenarios for policy support: Use of ontology in Integrated Assessment and Modelling

  • S. Janssen
  • F. Ewert
  • Hongtao Li
  • I. N. Athanasiadis
  • J. J. F. Wien
  • O. Therond
  • M. J. R. Knapen
  • I. Bezlepkina
  • Johanna Alkan Olsson
  • A. E. Rizzoli
  • H. Belhouchette
  • Mats Svensson
  • M. K. van Ittersum
Publiceringsår: 2009
Språk: Engelska
Sidor: 1491-1500
Publikation/Tidskrift/Serie: Environmental Modelling & Software
Volym: 24
Nummer: 12
Dokumenttyp: Konferensbidrag
Förlag: Elsevier


Integrated Assessment and Modelling (IAM) provides an interdisciplinary approach to support ex-ante decision-making by combining quantitative models representing different systems and scales into a framework for integrated assessment. Scenarios in IAM are developed in the interaction between scientists and stakeholders to explore possible pathways of future development. As IAM typically combines models from different disciplines, there is a clear need for a consistent definition and implementation of scenarios across models, policy problems and scales. This paper presents such a unified conceptualization for scenario and assessment projects. We demonstrate the use of common ontologies in building this unified conceptualization, e.g. a common ontology on assessment projects and scenarios. The common ontology and the process of ontology engineering are used in a case study, which refers to the development of SEAMLESS-IF, an integrated modelling framework to assess agricultural and environmental policy options as to their contribution to sustainable development. The presented common ontology on assessment projects and scenarios can be reused by IAM consortia and if required, adapted by using the process of ontology engineering as proposed in this paper. (C) 2009 Elsevier Ltd. All rights reserved.


  • Social Sciences Interdisciplinary
  • Integration
  • Knowledge management
  • Collaborative approach
  • Multi-disciplinary teams
  • Policy assessment


2nd International Conference on Asian Simulation and Modelling
  • ISSN: 1873-6726
  • ISSN: 1364-8152

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